Vehicle tracking using a microwave radar for situation awareness

Seongkeun Park; Jae Pil Hwang; Euntai Kim; Hyung Jin Kang

doi:10.1016/j.conengprac.2009.12.006

Vehicle tracking using a microwave radar for situation awareness

Seongkeun Park, Jae Pil Hwang, Euntai Kim, Hyung Jin Kang

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

20 Citations (Scopus)

Abstract

In this paper, a probabilistic target vehicle tracking method is proposed for situation awareness of intelligent cruise control (ICC) vehicle. The ICC vehicle considered herein is equipped with a 24 GHz microwave radar for tracking the preceding vehicle. To overcome the severe dispersion and noise of the microwave radar, a statistical model for the radar is built and it is applied to the hybrid particle filter. The hybrid particle filter is combined with the interacting multiple models (IMM) to track the preceding vehicle and predict the driver's intention. Furthermore, the modified hybrid particle filter is proposed to cope with the missing or multiple measurements of the microwave radar. Finally, a computer simulation is conducted and the validity of the proposed method is demonstrated.

Original language	English
Pages (from-to)	383-395
Number of pages	13
Journal	Control Engineering Practice
Volume	18
Issue number	4
DOIs	https://doi.org/10.1016/j.conengprac.2009.12.006
Publication status	Published - 2010 Apr

Bibliographical note

Funding Information:
This work was supported by Grant number R01-2006-000-11016-0 from Basic Research Program of the Korea Science & Engineering Foundation .

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Access to Document

10.1016/j.conengprac.2009.12.006

Cite this

@article{55c5ed6ccf904ad686306be289f92294,

title = "Vehicle tracking using a microwave radar for situation awareness",

abstract = "In this paper, a probabilistic target vehicle tracking method is proposed for situation awareness of intelligent cruise control (ICC) vehicle. The ICC vehicle considered herein is equipped with a 24 GHz microwave radar for tracking the preceding vehicle. To overcome the severe dispersion and noise of the microwave radar, a statistical model for the radar is built and it is applied to the hybrid particle filter. The hybrid particle filter is combined with the interacting multiple models (IMM) to track the preceding vehicle and predict the driver's intention. Furthermore, the modified hybrid particle filter is proposed to cope with the missing or multiple measurements of the microwave radar. Finally, a computer simulation is conducted and the validity of the proposed method is demonstrated.",

author = "Seongkeun Park and {Pil Hwang}, Jae and Euntai Kim and Kang, {Hyung Jin}",

note = "Funding Information: This work was supported by Grant number R01-2006-000-11016-0 from Basic Research Program of the Korea Science & Engineering Foundation . ",

year = "2010",

month = apr,

doi = "10.1016/j.conengprac.2009.12.006",

language = "English",

volume = "18",

pages = "383--395",

journal = "Control Engineering Practice",

issn = "0967-0661",

publisher = "Elsevier Limited",

number = "4",

}

TY - JOUR

T1 - Vehicle tracking using a microwave radar for situation awareness

AU - Park, Seongkeun

AU - Pil Hwang, Jae

AU - Kim, Euntai

AU - Kang, Hyung Jin

N1 - Funding Information: This work was supported by Grant number R01-2006-000-11016-0 from Basic Research Program of the Korea Science & Engineering Foundation .

PY - 2010/4

Y1 - 2010/4

N2 - In this paper, a probabilistic target vehicle tracking method is proposed for situation awareness of intelligent cruise control (ICC) vehicle. The ICC vehicle considered herein is equipped with a 24 GHz microwave radar for tracking the preceding vehicle. To overcome the severe dispersion and noise of the microwave radar, a statistical model for the radar is built and it is applied to the hybrid particle filter. The hybrid particle filter is combined with the interacting multiple models (IMM) to track the preceding vehicle and predict the driver's intention. Furthermore, the modified hybrid particle filter is proposed to cope with the missing or multiple measurements of the microwave radar. Finally, a computer simulation is conducted and the validity of the proposed method is demonstrated.

AB - In this paper, a probabilistic target vehicle tracking method is proposed for situation awareness of intelligent cruise control (ICC) vehicle. The ICC vehicle considered herein is equipped with a 24 GHz microwave radar for tracking the preceding vehicle. To overcome the severe dispersion and noise of the microwave radar, a statistical model for the radar is built and it is applied to the hybrid particle filter. The hybrid particle filter is combined with the interacting multiple models (IMM) to track the preceding vehicle and predict the driver's intention. Furthermore, the modified hybrid particle filter is proposed to cope with the missing or multiple measurements of the microwave radar. Finally, a computer simulation is conducted and the validity of the proposed method is demonstrated.

UR - http://www.scopus.com/inward/record.url?scp=77649178816&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77649178816&partnerID=8YFLogxK

U2 - 10.1016/j.conengprac.2009.12.006

DO - 10.1016/j.conengprac.2009.12.006

M3 - Article

AN - SCOPUS:77649178816

SN - 0967-0661

VL - 18

SP - 383

EP - 395

JO - Control Engineering Practice

JF - Control Engineering Practice

IS - 4

ER -

Vehicle tracking using a microwave radar for situation awareness

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this